CN113240315A - Personnel assessment method and device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses a personnel assessment method, a device, electronic equipment and a storage medium, wherein the personnel assessment method comprises the following steps: determining a target node responsible for the assessment object in the complete event processing flow; acquiring operation data and assessment indexes of the target node; analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes; and determining the performance grade of the assessment object according to the assessment value. The embodiment of the invention can automatically realize multi-dimensional assessment, cover more comprehensive personnel assessment range and improve assessment efficiency.
Description
Technical Field
The embodiment of the invention relates to a data processing technology, in particular to a personnel assessment method, a personnel assessment device, electronic equipment and a storage medium.
Background
The urban social management is an important dimension of national management, and has a pivot function of bearing the capital and the subordinate in a national management system. In the modern construction of urban social management, a scientific and reasonable work assessment system can effectively promote the high efficiency and the rationality of urban management, so that an urban management assessment method becomes an important component of intelligent urban development. In the practical process, the traditional digital urban management work assessment method has the problems of single assessment dimension, incomplete assessment range, incapability of realizing automatic assessment and the like, cannot match the current step of urban social management modernization development, and cannot meet the construction requirement of urban social management modernization development.
Disclosure of Invention
The embodiment of the invention provides a personnel assessment method, a device, electronic equipment and a storage medium, which can automatically realize multi-dimensional assessment, cover more comprehensive personnel assessment range and improve assessment efficiency.
In a first aspect, an embodiment of the present invention provides a person assessment method, including:
determining a target node responsible for the assessment object in the complete event processing flow;
acquiring operation data and assessment indexes of the target node;
analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes;
and determining the performance grade of the assessment object according to the assessment value.
Optionally, the determining a target node for which the assessment object is responsible in the complete event processing flow includes:
determining the role or the post of the assessment object;
and determining the target node responsible for the assessment object in the complete event processing flow according to the role or the post of the assessment object.
Optionally, the complete event processing flow includes an acquisition node, a verification node, an acceptance node, a proposal node, a dispatch node, a disposal node, a verification node and a proposal node.
Optionally, there are a plurality of the target nodes;
the acquiring of the operation data and the assessment indexes of the target node comprises the following steps: acquiring operation data and assessment indexes of each target node;
the operation data is analyzed and calculated according to the assessment indexes to obtain assessment values of the assessment indexes, and the assessment values comprise: analyzing and calculating the operation data of the corresponding target node according to the assessment index of each target node to obtain the assessment value of the assessment index of each target node;
the step of determining the performance level of the assessment object according to the assessment value comprises the following steps: and determining the performance level of the assessment object according to the assessment value of the assessment index of each target node and the node weight of the corresponding target node.
Optionally, there are a plurality of assessment indexes of the target node;
the operation data is analyzed and calculated according to the assessment indexes to obtain assessment values of the assessment indexes, and the assessment values comprise: analyzing and calculating the corresponding operation data according to each assessment index to obtain an assessment value of each assessment index;
the step of determining the performance level of the assessment object according to the assessment value comprises the following steps: and determining the performance grade of the assessment object according to the assessment value of each assessment index and the index weight of the corresponding assessment index.
Optionally, the determining a performance level of the assessment object according to the assessment value comprises:
determining a target interval to which the assessment value belongs;
and determining the performance level of the assessment object according to the target interval.
Optionally, the determining the performance level of the assessment object according to the target interval comprises:
acquiring interval grade configuration information, wherein the interval grade configuration information comprises performance grades configured for each numerical value interval;
and inquiring the interval grade configuration information to determine the performance grade configured for the target interval, and taking the performance grade configured for the target interval as the performance grade of the assessment object.
In a second aspect, an embodiment of the present invention further provides a staff assessment apparatus, including:
the first determination module is used for determining a target node which is responsible for the assessment object in the complete event processing flow;
the acquisition module is used for acquiring the operation data and the assessment indexes of the target node;
the calculation module is used for analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes;
and the second determining module is used for determining the performance grade of the assessment object according to the assessment value.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the person assessment method according to any one of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the person assessment method according to any one of the embodiments of the present invention.
In the embodiment of the invention, the target nodes responsible for the assessment objects in the complete event processing flow can be determined; acquiring operation data and assessment indexes of a target node; analyzing and calculating the operation data according to the assessment index to obtain an assessment value of the assessment index; and determining the performance grade of the assessment object according to the assessment value. In other words, in the embodiment of the invention, the assessment nodes can be set in multiple dimensions for the event based on the complete event processing flow, each assessment node has a corresponding assessment index, the relevant assessment objects are assessed based on the assessment indexes of the corresponding assessment nodes, a more comprehensive personnel assessment range can be covered, the whole assessment process can be automatically realized based on the operation data and the assessment indexes of the assessment nodes, and the assessment efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of a person assessment method according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a person assessment method according to a second embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating a person assessment method according to a third embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a person assessment apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device in a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example one
Fig. 1 is a schematic flow chart of a personnel assessment method in the first embodiment of the present invention, the first embodiment of the present invention is applicable to a digital city management work assessment and other scenes, and the method can be executed by a personnel assessment device provided in the first embodiment of the present invention, and the device can be implemented in a software and/or hardware manner. In a particular embodiment, the apparatus may be integrated in an electronic device, which may be, for example, a server. The following embodiments will be described by taking as an example that the apparatus is integrated in an electronic device, and referring to fig. 1, the method of the embodiments of the present invention specifically includes the following steps:
and S110, determining the target nodes responsible for the assessment objects in the complete event processing flow.
By way of example, the assessment objects may be staff and professional in a city management event. For example, street lamp maintenance personnel in the road administration, environmental monitoring personnel in the environmental protection agency, and living parties and districts in various communities.
The complete event processing flow can be the whole flow of the city management event, a plurality of departments and a plurality of personnel can be involved in the flow, and each department and personnel can independently process or cooperatively process the city management event.
The complete event processing flow can include an acquisition node, a verification node, an acceptance node, a case setting node, a dispatch node, a disposal node, a verification node and a case ending node.
Specifically, the role or the post of the assessment object can be determined, and the target node responsible for the assessment object in the complete event processing flow is determined according to the role or the post of the assessment object. For example, if the position of the assessment object is to dispatch an accepted member, the responsible target node is the accepted node.
And S120, acquiring the operation data and the assessment indexes of the target node.
For example, the job data may be workload or working condition statistics of the assessment object on the target node, for example, the job data of the verification node may be case verification number, verifiable number and verification-by-date number of the assessment object; the operation data of the record node can be the record number, the plan-by-schedule number and the plan-not-record number of the evaluation object.
The assessment index can be a calculation index for judging the completion condition of the operation data corresponding to the target node. For example, the assessment indexes of the collection nodes may be effective reporting rates, the assessment indexes of the verification nodes include an on-schedule verification rate and a verification rate, and the assessment indexes of the record-setting nodes include an on-schedule record-setting rate and a record-setting rate.
Illustratively, the operation data and the assessment indexes of each node in the complete event processing flow can be recorded in a city management system, the operation data can be updated and uploaded to the city management system in real time, the assessment indexes are set by a manager, and the assessment indexes can be fixed or can be dynamically updated according to actual requirements. The manager can inquire the operation data and the assessment indexes of each node from the city management system. In a specific embodiment, the job data and qualification indicators for each node in the complete event processing flow can be as shown in table 1 below.
TABLE 1 urban management event multidimensional examination rule Table
It should be noted that the roles, nodes, job data, and assessment indicators shown in table 1 are only exemplary illustrations, and do not constitute final limitations on the actual roles, the division of nodes, and the setting of job data and assessment indicators, and in practical applications, related data may be adjusted according to actual needs, and are not specifically limited here.
And S130, analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes.
Analyzing and calculating the operation data of the corresponding target node according to the assessment index of each target node to obtain the assessment value of the assessment index of the target node;
specifically, the assessment value is a value calculated according to the assessment index, for example, if the operation data of the grid operator at the collection node is the reported quantity 20 and the effective reported quantity 15, the reported quantity and the effective reported quantity are analyzed and calculated according to the effective reporting rate (effective reported quantity/reported quantity) of the assessment index, and the assessment value corresponding to the effective reporting rate of the assessment index is 75%.
And S140, determining the performance level of the assessment object according to the assessment value.
Specifically, a target interval to which the assessment value belongs can be determined; and determining the performance level of the assessment object according to the target interval.
For example, different numerical value intervals may be divided in advance, and a performance level may be configured for each numerical value interval to obtain interval level configuration information. In a specific embodiment, the interval level configuration information may be as shown in table 2 below:
TABLE 2 Interval level configuration information
| Numerical value range (%) | Performance rating |
| [90,100] | A |
| [85,90) | B |
| [80,85) | C |
| [70,80) | D |
| [0,70) | E |
The numerical intervals shown in table 2 may include numerical intervals corresponding to assessment values of different assessment indicators. For example, for the grid operator, the value interval may be a value interval corresponding to the effective reporting rate; for the value shift length, the value interval may be a value interval corresponding to the effective processing rate; the dispatch rate may be a numerical range corresponding to the dispatch rate.
For example, as shown in table 2, for the grid operator, the interval level configuration information may indicate that the performance level of the grid operator is E when the effective reporting rate of the grid operator per week event is lower than 70%; when the effective reporting rate of the events in each week is higher than 70% and lower than 80%, the performance level of the grid operator is D; when the effective reporting rate of the events in each week is higher than 80% and lower than 85%, the performance level of the grid operator is C; when the effective reporting rate of the events in each week is higher than 85% and lower than 90%, the performance level of the grid operator is B; and when the effective reporting rate of the events in each week is higher than 90% and lower than 100%, the performance level of the grid operator is A.
Specifically, one assessment object may be responsible for a plurality of target nodes, and the performance level of the assessment object may be determined according to the assessment value of the assessment index of each target node and the node weight of the corresponding target node.
For example, the assessment object is responsible for a plurality of target nodes, the performance level of the assessment object can be determined according to the assessment value of the assessment index of each target node and the node weight of the corresponding target node, and the performance level of the assessment object is determined by the plurality of target nodes together. The node weights can be set by managers according to actual conditions, and the node weights of different target nodes can be equal or unequal.
For example, taking the node weights of different target nodes as an example, the duty leader is responsible for the plan node and the end node, the effective plan rate of the plan node is 75%, the effective end rate of the end node is 85%, and if the node weight of the plan node is 40% and the node weight of the end node is 60%, the evaluation value of the duty leader on the plan node and the end node is 81% (i.e., 75% × 40% + 85% × 60%), and the performance level corresponding to the duty leader can be obtained as C according to the configuration in table 2.
For example, taking the node weights of different target nodes as an example (both are 1), the shift leader is responsible for the plan node and the end node, the effective plan rate of the plan node is 75%, the effective end rate of the end node is 85%, the assessment value of the shift leader on the plan node and the end node is 80% (i.e., (75% + 85%)/2), and the performance level corresponding to the shift leader can be obtained as C according to the configuration in table 2.
Specifically, one assessment object can be responsible for one target node, but one target node can have a plurality of assessment indexes, and the performance level of the assessment object can be determined according to the assessment value of each assessment index and the index weight corresponding to the assessment index.
For example, a target node has a plurality of assessment indexes, the performance level of an assessment object at the target node can be determined according to the assessment value of each assessment index and the index weight of the corresponding assessment index, and the index weights can be set by managers according to actual conditions and can be equal or unequal. For example, the dispatcher is responsible for dispatching the nodes, the primary dispatch success rate of the dispatch nodes is 80%, the dispatch rate per time is 95%, and if the index weight of the primary dispatch success rate is 50% and the index weight of the dispatch rate per time is 50%, the assessment value of the dispatcher at the dispatch nodes is 87.5% (i.e., 80% × 50% + 95% × 50%), and the performance level corresponding to the dispatcher can be obtained as B according to the configuration of table 2.
It should be noted that, in practical application, a situation that one assessment object is responsible for a plurality of target nodes and each target node has a plurality of assessment indexes may also occur, and the method provided by the embodiment of the present invention is also applicable to such a situation.
According to the technical scheme of the embodiment of the invention, after the target node responsible for the assessment object in the complete event processing flow is determined, the operation data and the assessment index of the target node are obtained, the operation data are analyzed and calculated according to the assessment index, and the performance grade of the assessment object is determined according to the assessment value of the assessment index. In other words, in the embodiment of the invention, the assessment nodes can be set in multiple dimensions for the event based on the complete event processing flow, each assessment node has a corresponding assessment index, the relevant assessment objects are assessed based on the assessment indexes of the corresponding assessment nodes, a more comprehensive personnel assessment range can be covered, the whole assessment process can be automatically realized based on the operation data and the assessment indexes of the assessment nodes, and the assessment efficiency is improved.
Example two
Fig. 2 is a schematic flow chart of a person assessment method in the second embodiment of the present invention, and the second embodiment of the present invention is further detailed in the second embodiment of the present invention, specifically taking an assessment object responsible for a plurality of target nodes as an example. Referring to fig. 2, the method of the embodiment of the present invention specifically includes the following steps:
s210, determining the target nodes responsible for the assessment objects in the complete event processing flow.
The assessment objects can be workers and professional departments involved in the urban management event processing process, and the complete event flow can be all links involved in the urban management event processing process and can comprise acquisition nodes, verification nodes, acceptance nodes, plan nodes, dispatch nodes, disposal nodes, check nodes and plan ending nodes.
Specifically, the role or the post of the assessment object can be determined; and determining the target node responsible for the assessment object in the complete event processing flow according to the role or the post of the assessment object.
For example, if a certain assessment object is responsible for collection, verification and verification in a city management event, the post of the assessment object is determined to be a grid operator, and the responsible target nodes are a collection node, a verification node and a verification node.
And S220, determining a plurality of target nodes.
If the assessment object is in charge of a target node and the target node only has one assessment index, the operation data and the assessment index of the target node are obtained, the operation data are analyzed and calculated according to the assessment index to obtain a corresponding assessment value, and the performance grade of the assessment object is determined according to the assessment value.
If there are more target nodes for which the assessment object is responsible, step 230 is executed.
And S230, acquiring the operation data and the assessment indexes of each target node.
The job data can be the workload and working condition statistics of the assessment objects on the target nodes, for example, the job data of the dispatching nodes can be the dispatching number, the accurate dispatching number, the wrong dispatching number, the scheduled dispatching number and the non-dispatching number of cases of the assessment objects.
The assessment index can be a calculation index for judging the completion condition of the operation data corresponding to the target node. For example, the assessment indexes of the dispatch nodes can be a one-time dispatch success rate and a scheduled dispatch rate, and the assessment indexes of the plan nodes comprise a scheduled plan rate and a plan rate.
The manager can query the operation data and the assessment indexes of the assessment objects corresponding to the target nodes from the city management system, the query time range can include week, month and year, week, month and year can be taken as the assessment period, and the query time range is not limited herein.
S240, analyzing and calculating the operation data of the corresponding target node according to the assessment index of each target node to obtain the assessment value of the assessment index of each target node.
Wherein, the assessment value is a numerical value calculated according to the assessment index.
Specifically, when the assessment object is responsible for a plurality of target nodes, each target node may include one assessment index or a plurality of assessment indexes.
For example, the position of a certain assessment object is a gridder, which is responsible for an acquisition node and a verification node, the operation data at the acquisition node is a reported quantity of 20, the reported quantity is an effective reported quantity of 15, the acquisition node comprises an assessment index, and the assessment value of the effective reporting rate (effective reported quantity/reported quantity) of the assessment index is 75%; the job data at the verification node is a verification quantity 20, a verification quantity 35 and a verification quantity by date 15, the verification node includes two assessment indexes, the assessment value of the verification rate by date (verification quantity by date/verification quantity) of the assessment indexes is 75%, and the assessment value of the verification rate by date (verification quantity/verification quantity) of the assessment indexes is 57%.
And S250, determining the performance level of the assessment object according to the assessment value of the assessment index of each target node and the node weight of the corresponding target node.
Specifically, when the assessment object is responsible for a plurality of target nodes, each target node may set a corresponding node weight according to the importance and urgency of the target node, and the node weights of different target nodes may be the same or different, and are set by a manager. And determining the performance level of the assessment object according to the assessment value of the assessment index of each target node and the node weight of the corresponding target node.
Specifically, a target interval to which the assessment value belongs can be determined; and determining the performance level of the assessment object according to the target interval.
For a certain target node, the corresponding operation data of the target node can be analyzed and calculated according to the assessment index of the target node to obtain an assessment value, the target interval can be different pre-divided numerical value intervals, each numerical value interval can be correspondingly configured with a performance level, and a manager can self-define the performance levels corresponding to the different numerical value intervals, without limitation.
For example, taking the node weights of different target nodes as an example, a certain grid clerk is responsible for an acquisition node and a check node, the effective report rate of the acquisition node is 75%, the check rate of the check node is 95%, and if the node weight of the acquisition node is 30% and the node weight of the check node is 70%, the assessment value calculated according to the acquisition node, the check node and the corresponding node weights thereof is 89% (75% × 30% + 95% × 70%), and then the performance level corresponding to the grid clerk can be obtained as B according to the configuration in table 2.
For example, taking the same node weights of different target nodes as an example, a certain grid clerk is responsible for an acquisition node and a check node, the effective report rate of the acquisition node is 75%, the check rate of the check node is 95%, and if the node weight of the acquisition node is 50% and the node weight of the check node is 50%, the assessment value calculated according to the acquisition node, the check node and the corresponding node weights thereof is 85% (75% × 50% + 95% × 50%), and then the performance level corresponding to the grid clerk can be obtained as B according to the configuration in table 2.
According to the technical scheme of the embodiment of the invention, after the target nodes responsible for the assessment object in the complete event processing flow are determined, when a plurality of target nodes exist, the operation data and the assessment indexes of each target node are obtained, the operation data of the corresponding target node is analyzed and calculated according to the assessment indexes of each target node, the assessment value of the assessment indexes of each target node is obtained, and the performance level of the assessment object is determined according to the assessment value of the assessment indexes of each target node and the node weight of the corresponding target node. In other words, in the embodiment of the invention, the assessment nodes can be set in multiple dimensions for the event based on the complete event processing flow, each assessment node has a corresponding assessment index, the relevant assessment objects are assessed based on the assessment indexes of the corresponding assessment nodes, a more comprehensive personnel assessment range can be covered, the whole assessment process can be automatically realized based on the operation data and the assessment indexes of the assessment nodes, and the assessment efficiency is improved. Furthermore, a side rechecking point can be set for the single-role multi-node condition, and the assessment standard is refined.
EXAMPLE III
Fig. 3 is a schematic flow chart of a person assessment method in the third embodiment of the present invention, and the third embodiment of the present invention is further detailed in the above embodiments, specifically taking an example that a target node in charge of an assessment object includes a plurality of assessment indexes. Referring to fig. 3, the method of the embodiment of the present invention specifically includes the following steps:
s310, determining the target nodes responsible for the assessment objects in the complete event processing flow.
The assessment objects can be professional departments involved in the process of processing the urban management events, and the professional departments can be specific functional departments involved in the urban management events. For example, traffic accident events relate to the traffic administration of public security agencies, and the problem of the entry of children of the correct age relates to the education and science bureau.
And S320, acquiring the operation data and the assessment indexes of the target node.
The manager can query the operation data and the assessment indexes of the target nodes responsible for the assessment objects in the city management system, and the time range of the operation data can be in units of weeks, months and years, which is not limited herein.
Specifically, one assessment object may be responsible for one target node.
If one assessment index exists in the target node, executing step 330 and then executing step 340;
if the number of the assessment indexes of the target node is multiple, executing step 350 and then executing step 360;
s330, analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes.
Specifically, the assessment value is a value calculated according to the assessment index, for example, if the operation data of a certain grid member at the verification node is the verification quantity 20 and the verification quantity 25, the assessment value corresponding to the verification rate of the assessment index is obtained by performing analysis and calculation according to the verification rate (verification quantity/verification quantity) of the assessment index, and the assessment value is 80%.
And S340, determining the performance grade of the assessment object according to the assessment value.
Wherein, the target interval to which the assessment value belongs can be determined; and determining the performance level of the assessment object according to the target interval.
For example, the assessment value corresponding to the review rate of the assessment index of a certain grid member is 80%, and the interval level configuration information is shown in table 2, so that the performance level of the grid member can be obtained as C according to the configuration of table 2.
And S350, analyzing and calculating the corresponding operation data according to each assessment index to obtain an assessment value of each assessment index.
For example, job data of a professional department at a disposal node includes a disposal quantity 50, a disposal quantity 60, a disposal quantity by stage 45, and the like, and the assessment index includes a disposal rate (disposal quantity/disposal quantity) and a disposal rate by stage (disposal quantity by stage/disposal quantity), and the assessment value of the disposal rate is 83% and the assessment value of the disposal rate by stage is 90%.
And S360, determining the performance grade of the assessment object according to the assessment value of each assessment index and the index weight of the corresponding assessment index.
Wherein, the target interval to which the assessment value belongs can be determined; determining the performance grade of the assessment object according to the target interval; the index weight can be set by the manager, and the index weights of different assessment indexes can be equal or unequal.
For example, taking the same index weight of different assessment indexes as an example, the professional department is responsible for the treatment node, the assessment value of the treatment rate of the treatment node is 95%, the assessment value of the on-term treatment rate is 85%, and if the index weight of the treatment rate is 50%, and the index weight of the on-term treatment rate is 50%, the assessment value of the professional department at the treatment node is 90% (i.e., 95% × 50% + 85% × 50%). The performance level corresponding to the professional department can be found to be a according to the configuration of table 2.
For example, taking the example that the index weights of different assessment indexes are different, the professional department is responsible for the treatment node, the assessment value of the treatment rate of the treatment node is 95%, the assessment value of the on-term treatment rate is 85%, and if the index weight of the treatment rate is 70%, and the index weight of the on-term treatment rate is 30%, the assessment value of the professional department at the treatment node may be 92% (i.e., 95% × 70% + 85% × 30%). The performance level corresponding to the professional department can be found to be a according to the configuration of table 2.
It should be noted that, in practical application, a situation that one assessment object is responsible for a plurality of target nodes and each target node has a plurality of assessment indexes may also occur, and the method provided by the embodiment of the present invention is also applicable to such a situation.
According to the technical scheme of the embodiment of the invention, after the target nodes responsible for the assessment object in the complete event processing flow are determined, when a plurality of target nodes exist, the operation data and the assessment indexes of each target node are obtained, the operation data of the corresponding target node is analyzed and calculated according to the assessment indexes of each target node, the assessment value of the assessment indexes of each target node is obtained, and the performance level of the assessment object is determined according to the assessment value of the assessment indexes of each target node and the node weight of the corresponding target node. In other words, in the embodiment of the invention, the assessment nodes can be set in multiple dimensions for the event based on the complete event processing flow, each assessment node has a corresponding assessment index, the relevant assessment objects are assessed based on the assessment indexes of the corresponding assessment nodes, a more comprehensive personnel assessment range can be covered, the whole assessment process can be automatically realized based on the operation data and the assessment indexes of the assessment nodes, and the assessment efficiency is improved. Furthermore, a side rechecking point can be set according to the condition of single-role single-node multi-assessment indexes, and assessment standards are refined.
Example four
Fig. 4 is a schematic structural diagram of a personnel assessment device provided by the fourth embodiment of the present invention, and the fourth embodiment of the present invention is applicable to scenes such as digital city management work assessment.
As shown in fig. 4, the personnel assessment apparatus provided in the embodiment of the present invention may include a first determining module 410, an obtaining module 420, a calculating module 430, and a second determining module 440, where:
the first determining module 410 is configured to determine a target node for which the assessment object is responsible in the complete event processing flow;
an obtaining module 420, configured to obtain job data and assessment indicators of the target node;
the calculation module 430 is used for analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes;
a second determining module 440, configured to determine a performance level of the assessment object according to the assessment value.
Further, the first determining module 410 is specifically configured to:
determining the role or the post of the assessment object;
determining a target node responsible for the assessment object in the complete event processing flow according to the role or the post of the assessment object;
the complete event processing flow comprises a collection node, a verification node, an acceptance node, a case setting node, a dispatch node, a handling node, a verification node and a case ending node.
Further, the obtaining module 420 is specifically configured to:
if a plurality of target nodes exist, acquiring operation data and assessment indexes of each target node;
further, the calculating module 430 is specifically configured to:
analyzing and calculating the operation data of the corresponding target node according to the assessment index of each target node to obtain the assessment value of the assessment index of each target node;
further, the second determining module 440 is specifically configured to:
determining the performance level of the assessment object according to the assessment value of the assessment index of each target node and the node weight of the corresponding target node;
further, the calculating module 430 is specifically configured to:
if a plurality of assessment indexes of the target node exist, analyzing and calculating the operation data corresponding to each assessment index to obtain an assessment value of each assessment index;
further, the second determining module 440 is specifically configured to:
and determining the performance grade of the assessment object according to the assessment value of each assessment index and the index weight of the corresponding assessment index.
Further, the second determining module 440 is specifically configured to:
determining a target interval to which the assessment value belongs;
determining the performance level of the assessment object according to the target interval;
further, the second determining module 440 is specifically configured to:
acquiring interval grade configuration information, wherein the interval grade configuration information comprises performance grades configured for each numerical value interval;
and inquiring the interval grade configuration information to determine the performance grade configured for the target interval, and taking the performance grade configured for the target interval as the performance grade of the assessment object.
The personnel assessment device provided by the embodiment of the invention can execute the personnel assessment method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. Reference may be made to the description of any method embodiment of the invention not specifically described in this embodiment.
EXAMPLE five
Fig. 5 is a schematic structural diagram of an electronic device provided in this embodiment, where the electronic device includes a memory, a processor, and a computer program that is stored in the memory and can be run on the processor, and when the processor executes the computer program, the method for assessing people provided in any of the embodiments is implemented.
Referring to FIG. 5, a block diagram of a computer system 500 suitable for use in implementing an electronic device of an embodiment of the invention is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
EXAMPLE six
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for assessing people, the method including:
determining a target node responsible for the assessment object in the complete event processing flow;
acquiring operation data and assessment indexes of the target node;
analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes;
and determining the performance grade of the assessment object according to the assessment value.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the personnel assessment method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the person assessment method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A personnel assessment method is characterized by comprising the following steps:
determining a target node responsible for the assessment object in the complete event processing flow;
acquiring operation data and assessment indexes of the target node;
analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes;
and determining the performance grade of the assessment object according to the assessment value.
2. The personnel assessment method according to claim 1, wherein the determining of the target node for which the assessment object is responsible in the complete event processing flow comprises:
determining the role or the post of the assessment object;
and determining the target node responsible for the assessment object in the complete event processing flow according to the role or the post of the assessment object.
3. The personnel assessment method according to claim 1, wherein the complete event processing flow comprises an acquisition node, a verification node, an acceptance node, a proposal node, a dispatch node, a disposal node, a verification node and a proposal node.
4. The personnel assessment method according to claim 1, wherein there are a plurality of said target nodes;
the acquiring of the operation data and the assessment indexes of the target node comprises the following steps: acquiring operation data and assessment indexes of each target node;
the operation data is analyzed and calculated according to the assessment indexes to obtain assessment values of the assessment indexes, and the assessment values comprise: analyzing and calculating the operation data of the corresponding target node according to the assessment index of each target node to obtain the assessment value of the assessment index of each target node;
the step of determining the performance level of the assessment object according to the assessment value comprises the following steps: and determining the performance level of the assessment object according to the assessment value of the assessment index of each target node and the node weight of the corresponding target node.
5. The personnel assessment method according to claim 1, wherein a plurality of assessment indexes of the target node are provided;
the operation data is analyzed and calculated according to the assessment indexes to obtain assessment values of the assessment indexes, and the assessment values comprise: analyzing and calculating the corresponding operation data according to each assessment index to obtain an assessment value of each assessment index;
the step of determining the performance level of the assessment object according to the assessment value comprises the following steps: and determining the performance grade of the assessment object according to the assessment value of each assessment index and the index weight of the corresponding assessment index.
6. The personnel qualification method of claim 1, wherein determining a performance rating for the qualified object based on the qualification value comprises:
determining a target interval to which the assessment value belongs;
and determining the performance level of the assessment object according to the target interval.
7. The personnel qualification method of claim 6, wherein the determining a performance level of the qualified object as a function of the target interval comprises:
acquiring interval grade configuration information, wherein the interval grade configuration information comprises performance grades configured for each numerical value interval;
and inquiring the interval grade configuration information to determine the performance grade configured for the target interval, and taking the performance grade configured for the target interval as the performance grade of the assessment object.
8. An assessment device for persons, comprising:
the first determination module is used for determining a target node which is responsible for the assessment object in the complete event processing flow;
the acquisition module is used for acquiring the operation data and the assessment indexes of the target node;
the calculation module is used for analyzing and calculating the operation data according to the assessment indexes to obtain assessment values of the assessment indexes;
and the second determining module is used for determining the performance grade of the assessment object according to the assessment value.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the person assessment method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out a person assessment method according to any one of claims 1 to 7.
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